Tejaswi Cheella

Designed and maintained Python FastAPI backend services supporting ingestion and processing of 100K+ structured records per day, contributing to REST API contracts, validation, and error handling for 12 internal React applications used across analytics and reporting workflows. Built and supported AWS-based deployments using EC2, S3, RDS, and Docker, contributing to the operation of 15+ backend services promoted across development, staging, and production environments. Constructed React and TypeScript interfaces rendering 100+ financial and risk-related data attributes, applying structured component architecture to support analytical review and business reporting across 8 internal teams. Implemented Python-based background validation and reconciliation jobs processing 30K+ daily records, enforcing consistency checks and surfacing exceptions to downstream reporting and audit systems. Optimized PostgreSQL queries across 10+ high-volume transactional tables through query refactoring and in

Developed and enhanced Django-based backend services supporting eligibility and coverage workflows handling up to 240K+ records during peak enrollment and verification periods, implementing validation layers and pre-claims checks prior to downstream adjudication. Engineered REST APIs backed by PostgreSQL for transactional data and MongoDB for response payloads across 8 healthcare data domains, enabling secure integration with enrollment, eligibility, and claims platforms. Implemented asynchronous processing using Kafka consumers and Redis-backed caching to decouple validation workflows from request paths, reducing repeated database reads during high-volume eligibility checks. Built an internal AI-assisted support chatbot using LangChain and LLM APIs to help operations and QA teams query eligibility rules, validation logic, and troubleshooting documentation, improving turnaround time for internal support workflows. Standardized Dockerized deployments for 7 backend services across AWS en

Constructed Python Flask services consolidating audit and compliance datasets into 15 internal analytics dashboards used across multiple client audit engagements. Engineered React-based visualization layers rendering 200+ KPI attributes, defining component boundaries and managing client-side state to support analysis of control effectiveness and transactional anomalies during audit cycles. Supported SQL-driven ETL workflows processing up to 2.5M+ records per quarter, consolidating evidence from disparate client source systems into standardized audit analytics repositories. Packaged Docker-based application builds for 10 client-isolated environments, enabling repeatable deployments and configuration separation across parallel consulting delivery streams. Implemented Python validation scripts enforcing 25 data transformation and reconciliation rules, improving reliability of regulatory and compliance reporting outputs. Integrated automated code analysis and debugging utilities via intern